Open-source framework for uncertainty and deep learning models in PyTorch 🌱

Codes related to the paper "Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing", IEEE TCI, 2023.

A complete toolbox for spectral unmixing with spectral variability

Latex code for making neural networks diagrams

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

A modern LaTeX Beamer theme

Python code for abnormal detection or fault detection using Support Vector Data Description (SVDD)

Deep learning image registration library for PyTorch

3D Slicer module based on SlicerVR to train forceps delivery

A Slicer extension that enables user to interact with a Slicer scene using virtual reality.

Point Cloud Library (PCL)